Organisations that have implemented substantial data integration architecture can save more than $500,000 (£343,000) annually by rationalising tools in the short term and adopting a shared-services model in the longer term, according to Gartner.
Deployment of multiple and functionally overlapping data integration tools creates excessive cost in terms of software licensing, maintenance, and skills of up to $250,000 per tool annually, the analyst house said.
"Organisations often purchase and implement new data integration tools in a fragmented way without considering extending investments already made in other parts of the business, resulting in multiple tools from various vendors," said Ted Friedman, VP at Gartner.
"The first step is for IT teams focused on data integration is to save money by rationalising tools. Further, there is a greater longer-term opportunity to substantially reduce costs and increase efficiency and quality by moving to a shared-services model for the associated skills and computing infrastructure."
As businesses in all industries continue to focus heavily on cost optimisation, various aspects of IT represent potential for removing cost. The imperative to increase efficiency, combined with the historically fragmented and tactical approach to data integration that is commonplace in most businesses, is now driving organisations to rethink how they have approached this discipline.
Gartner recommends that organisations consider executing three elements of rationalisation in the short term. Firstly, planners should rationalise the three main categories of data integration tools: extraction, transformation and loading (ETL); data replication; and data federation, ideally arriving at a standard tool for each of these styles of data delivery.